Neural network models. • Artificial neural networks provide a 'good' parameterized class of nonlinear functions to learn nonlinear classifiers. PR NPTEL course. Lecture Series on Neural Networks and Applications by Prof.S. Sengupta, Department of Electronics and Electrical Communication Engineering, IIT Kharagpur. NPTEL Syllabus Artificial Neural Networks - Web course COURSE OUTLINE This course has been designed to offer as a graduate-level/ final year NPTEL.


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NPTEL NEURAL NETWORKS EBOOK DOWNLOAD


NPTEL :: Computer Science and Engineering - Artificial Intelligence(ta)

Risk minimization, loss function, backpropagation, regularization, model selection, and optimization. Object recognition, sparse coding, computer vision, natural nptel neural networks processing. Satish Kumar, Neural Networks: Books on Optimization Techniques A.

Knowledge of matrix algebra and calculus. The course also outlines fuzzy neural networks, used in automated control applications.

Lec-1 Introduction To Artificial Neural Networks - NPTEL Communication Systems

The course adequately stresses on the analytical aspects of ANN rather than on applications directly. My expectation is that on completion of the course, the Prof. Somnath Sengupta students can apply the concepts to real-life engineering problems. Biological neurons and artificial neurons.

Model of an ANN. nptel neural networks

NPTEL NEURAL NETWORKS EBOOK DOWNLOAD

Activation functions used in ANNs. Typical classes of network architectures.

Neural Networks and Applications NPTEL

Re-visiting vector and matrix algebra. Model of an ANN.

  • NPTEL :: Computer Science and Engineering - Artificial Intelligence
  • NPTEL :: Electronics & Communication Engineering - Neural Networks and Applications
  • CS Neural Networks and Deep Learning

Activation functions used in ANNs. Typical classes of network architectures.

NPTEL NEURAL NETWORKS EBOOK DOWNLOAD

Re-visiting vector and matrix algebra. Structure and learning of perceptrons. Pattern classifier - introduction and Bayes' classifiers. Perceptron as a pattern classifier.

NPTEL NEURAL NETWORKS EBOOK DOWNLOAD

Limitations of a perceptrons. Structures of Multi-layer feedforward networks. Back propagation - training and convergence.



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